PERSONNEL SELECTION FOR PROMOTION USING AN INTEGRATED FUZZY ANALYTIC HIERARCHY PROCESS-GREY RELATIONAL ANALYSIS METHODOLOGY: A REAL CASE STUDY

Year 2018, Volume: 19 Issue: 2, 278 - 292, 30.06.2018

Yavuz Özdemir , Kemal Gökhan Nalbant , Hüseyin Başlıgil

https://doi.org/10.18038/aubtda.326726

Cited By: 6

Abstract

The basic idea of personnel selection is to
choose the best candidate for a job. Personnel selection is crucial in human
resources management and also a very important issue for both academicians and
industrialists. Personnel selection can be handled as a Multi Criteria Decision
Making (MCDM) problem.

The aim of this paper is to determine the best
personnel using the integrated Fuzzy Analytic Hierarchy Process (FAHP) and Grey
Relational Analysis (GRA) methodology. FAHP is used to determine the importance
weights of personnel (17 alternatives) according to personnel selection
criteria (22 subcriteria are categorized under 5 main criteria).  Then, obtained fuzzy importance weights
defuzzified by centroid method. After that, defuzzified importance weights of personnel
according to personnel selection criteria are integrated with a GRA model to
prioritize the personnel alternatives. For a case study in Turkey, the ranking
of the alternatives is calculated using the integrated FAHP-GRA model, and the
best-performing personnel is selected for promotion. According to this
methodology, managers/human resources department can easily predict how they
can evaluate and promote employees.

The proposed methodology provides less data and can
analyze many factors that can overcome the disadvantages of statistics methods
in the literature. The main contribution of this study is to reduce data for a
preference matrix using the integrated methodology. As a result, the number of
transactions decrease. To the authors’ knowledge, this will be the first study
which integrates Fuzzy Analytic Hierarchy Process (FAHP) and Grey Relational
Analysis (GRA) methodologies for human resources in the area of industrial
engineering.

Keywords

Personnel Selection, Personnel Selection Criteria, Multi Criteria Decision Making (MCDM), Fuzzy Analytic Hierarchy Process (FAHP), Grey Relational Analysis (GRA)

References

• Ozdemir Y, Basligil H. Aircraft selection using Fuzzy ANP and the generalized Choquet Integral method: The Turkish Airlines case. Journal of Intelligent and Fuzzy Systems 2016; 31: 589-600.
• Ozdemir Y, Nalbant KG, Basligil H. Evaluation of personnel selection criteria using Consistent Fuzzy Preference Relations. Operations Research and Information Engineering 2017; accepted.
• Chen CT. Extensions of the TOPSIS for group decision-making under fuzzy environment. Fuzzy Sets and Systems 2000; 114: 1-9.
• Afshari AR, Mojahed M, Yusuff RM, Hong TS, Ismail MY. Personnel selection using ELECTRE. Journal of Applied Sciences 2010; 10: 3068-3075.
• Kelemenis A, Askounis D. A new TOPSIS based multi-criteria approach to personnel selection. Expert Systems with Applications 2010; 37: 4999-5008.
• Rashidi A, Jazebi F, Brilakis I. Neurofuzzy genetic system for selection of construction project managers. Journal of Construction Engineering and Management 2011; 137: 17-29.
• Boran FE, Genç S, Akay D. Personnel selection based on intuitionistic fuzzy sets. Human Factors and Ergonomics in Manufacturing & Service Industries 2011; 21: 493-503.
• Kabak M, Burmaoğlu S, Kazançoğlu Y. A fuzzy hybrid MCDM approach for professional selection. Expert Systems with Applications 2012; 39: 3516-3525.
• Baležentis A, Baležentis T, Brauers WK. Personnel selection based on computing with words and fuzzy MULTIMOORA. Expert Systems with Applications 2012; 39: 7961-7967.
• Roy B, Misra SK. An integrated DEMATEL and AHP approach for personnel estimation. International Journal of Computer Science and Information Technology & Security 2012; 2: 1206-1212.
• Yu D, Zhang W, Xu Y. Group decision making under hesitant fuzzy environment with application to personnel evaluation. Knowledge Based Systems 2013; 52: 1-10.
• Md Saad R, Ahmad MZ, Abu MS, Jusoh MS. Hamming Distance Method with subjective and objective weights for personnel selection. The Scientific World Journal 2014; ID 865495, 1-9, doi:10.1155/2014/865495.
• Aggarwal R. Identifying and prioritizing human capital measurement indicators for personnel selection using fuzzy MADM. In: Pant M., Deep K, Nagar A, Bansal J, editors. Proceedings of the Third International Conference on Soft Computing for Problem Solving. Advances in Intelligent Systems and Computing. Springer, New Delhi, 2014; 258: 427-439.
• Violeta K, Turskis Z. A hybrid linguistic fuzzy multiple criteria group selection of a chief accounting officer. Journal of Business Economics and Management 2014; 15: 232-252.
• Karabasevic D, Stanujkic D, Urosevic S, Maksimovic M. Selection of candidates in the mining industry based on the application of the SWARA and the MULTIMOORA methods. Acta Montanistica Slovaca 2015; 20: 116-124.
• Lin CL, Lin JL, Ko TC. Optimisation of the EDM process based on the orthogonal array with fuzzy logic and Grey Relational Analysis method. The International Journal of Advanced Manufacturing Technology 2002; 19: 271-277.
• Chang CL, Tsai CH, Chen L. Applying Grey Relational Analysis to the Decathlon evaluation model. International Journal of The Computer, The Internet and Management 2003; 11: 54-62.
• Deng JL. Introduction to Grey System. Journal of Grey System 1989; 1: 1-24.
• Wu HH. A comparative study of using Grey Relational Analysis in multiple attribute decision making problems. Quality Engineering 2002; 15: 209-217.
• Yang CC, Chen BS. Supplier selection using combined analytical hierarchy process and grey relational analysis. Journal of Manufacturing Technology Management 2006; 17: 926-941.
• Kuo Y, Yang T, Huang GW. The use of grey relational analysis in solving multiple attribute decision-making problems. Computers & Industrial Engineering 2008; 55: 80-93.
• Hou J. Grey Relational Analysis method for multiple attribute decision making in intuitionistic fuzzy setting. Journal of Convergence Information Technology 2010; 5: 194-199.
• Zhang SF, Liu SY. GRA-based intuitionistic fuzzy multi-criteria group decision making method for personnel selection. Expert Systems with Applications 2011; 38: 11401–11405.
• Pitchipoo P, Venkumar P, Rajakarunakaran S. Grey Decision Model for Supplier Selection in Process Industry. International Journal of Operations System and Human Resource Management 2011; 1: 61-66.
• Pramanik S, Mukhopadhyaya D. Grey Relational Analysis based intuitionistic fuzzy multi-criteria group decision-making approach for teacher selection in higher education. International Journal of Computer Applications 2011; 34: 21-29.
• Sofyalioglu C, Ozturk S. Application of grey relational analysis with fuzzy AHP to FMEA method. Dogus University Journal 2012; 13: 114-130.
• Goyal S, Grover S. Applying fuzzy grey relational analysis for ranking the advanced manufacturing systems. Grey Systems: Theory and Application 2012; 2: 284-298.
• Rajesh R, Ravi V. Supplier selection in resilient supply chains: A grey relational analysis approach. Journal of Cleaner Production 2015; 86: 343-359.
• Rajyalakshmi G, Venkata Ramaiah P. Application of Taguchi, Fuzzy-Grey Relational Analysis for process parameters optimization of WEDM on Inconel-825. Indian Journal of Science and Technology 2015; 8: 1-12.
• Kundakci N. Personnel selection with grey relational analysis. Management Science Letters 2016; 6: 351-360.
• Sari T, Baynal K, Ergul O. Supplier selection with Grey Relational Analysis. International Journal of Emerging Research in Management & Technology 2016; 5: 61-70.
• Pakkar MS. An integrated approach to grey relational analysis, analytic hierarchy process and data envelopment analysis. Journal of Centrum Cathedra 2016; 9: 71-86.
• Kabak M, Dagdeviren M. A hybrid approach based on ANP and grey relational analysis for machine selection. Technical Gazette 2017; 24: 109-118.
• Hsieh TY, Lu ST, Tzeng GH. Fuzzy MCDM approach for planning and design tenders selection in public office buildings. International Journal of Project Management 2004; 22: 573-584.
• Kahraman C, Cebeci U, Ruan D. Multi-attribute comparison of catering service companies using fuzzy AHP: The case of Turkey. International Journal of Production Economics 2004; 87: 171-184.
• Mikhailov L, Tsvetinov P. Evaluation of services using a fuzzy analytic hierarchy process. Applied Soft Computing 2004; 5: 23-33.
• Rodríguez A, Ortega F, Concepción R. A method for the selection of customized equipment suppliers. Expert Systems with Applications 2013; 40: 1170–1176.
• Buyukozkan G, Feyzioglu O, Nebol E. Selection of the strategic alliance partner in logistics value chain. International Journal of Production Economics 2008; 113: 148-158.
• Cascales MSG, Lamata MT. Fuzzy analytical hierarchy process in maintenance problem. In: Nguyen NT, Borzemski L, Grzech A, Ali M, editors. New Frontiers in Applied Artificial Intelligence. IEA/AIE 2008. Lecture Notes in Computer Science, 2008; vol. 5027, Springer, Berlin, Heidelberg.
• Alias MA, Hashim SZM, Samsudin S. Using fuzzy analytic hierarchy process for southern Johor river ranking. International Journal of Advances in Soft Computing and its Applications 2009; 1: 62–76.
• Mikhailov L. Fuzzy analytical approach to partnership selection in formation of virtual enterprises, Omega 2002; 30: 393–401.
• Huang LC, Huang KS, Huang HP, Jaw BS. Applying fuzzy neural network in human resource selection system, In: Annual conference of the North American fuzzy information processing society – NAFIPS; 2004; Banff, Alta, Canada: pp. 169–174.
• Gungor Z, Serhadlioglu G, Kesen SE. A fuzzy AHP approach to personnel selection problem. Applied Soft Computing Journal 2009; 9: 641-646.
• Celik M, Kandakoglu A, Er ID. Structuring fuzzy integrated multi-stages evaluation model on academic personnel recruitment in MET institutions. Expert Systems with Applications 2009; 36: 6918-6927.
• Chen PC. A Fuzzy Multiple criteria decision making model in employee recruitment. International Journal of Computer Science and Network Security 2009; 9: 113-117.
• Sun CC. A performance evaluation model by integrating Fuzzy AHP and Fuzzy TOPSIS methods. Expert Systems with Applications 2010; 37: 7745-7754.
• Rouyendegh BD, Erkan TE. Selection of academic staff using The Fuzzy Analytic Hierarchy Process (FAHP): A Pilot Study. Tehnicki vjesnik / Technical Gazette 2012; 19: 923- 929.
• Tuzkaya UR, Onut S. A fuzzy analytic network process based approach to transportation-mode selection between Turkey and Germany: A case study. Information Sciences 2008; 178: 3133-3146.
• Tuzkaya G, Gulsun B, Kahraman C and Ozgen D. An integrated fuzzy multi-criteria decision making methodology for material handling equipment selection problem and an application. Expert Systems with Applications 2010; 37: 2853-2863.
• Ozdemir S, Ozdemir Y. Prioritizing store plan alternatives produced with shape grammar using multi-criteria decision-making techniques. Environment and Planning B: Urban Analytics and City Science 2017; doi: 10.1177/0265813516686566.
• Zadeh LA. Fuzzy Sets. Information and Control 1965; 8: 338-353.
• Kaya T, Kahraman C. An integrated fuzzy AHP-ELECTRE methodology for environmental impact assessment. Expert System with Application 2011; 38: 8553-8562.
• Wu HH. The introduction of Grey Analysis. Taipei: Gauli Publishing Co., 1996.
• Wu HH. The method and application of Grey Decisions. Chang-Hwa: Chien-Kuo Institute of Technology, 1998.
• Ross, TJ. Fuzzy logic with engineering applications. New York: McGrawHill, 1995.
• Sugeno M. An introductory survey of fuzzy control. Inf. Sci. 1985; 36: 59-83.
• Lee C. Fuzzy logic in control systems: fuzzy logic controller. Parts I and II. IEEE Trans. Syst., Man, Cybern. 1990; 20: 404-418.